项目介绍

2025年2月4日

Full-time 4 years PhD position available in ‘Biomarker discovery for Next Generation Immuno-Dermatology’

Job Description
We are seeking a full-time PhD student to join a nationwide network of patients, doctors, biologists and data scientists called “NextGen-ImmunoDermatology” (https://ng-id.nl/) to implement personalized treatments of skin ailments using novel biomarkers.

As part of the NG-ID Biomarkers Development team, you will be working on cross-institutional data fusion, imaging-based quantitative multi-omics, and developing new machine/deep learning tools for biomarker discovery.

Your principal responsibility will be to fulfil all the requirements to obtain a PhD degree at Maastricht University including, but not limited, to the following :

• Writing several scientific publications which form the central corpus of your PhD thesis;
• Supporting NG-ID cross-institution data preparation, data fusion and making data Findable-Accessible-Interoperable and Re-usable (FAIR);
• Deploying artificial intelligence tools for quantitative analysis of imaging, including cytometric and mass spectrometry imaging;
• Developing and evaluating multi-omics prediction models;
• Working as an integral part of the wider NG-ID Biomarkers Development team to achieve the scientific objectives of the NG-ID network, as instructed by your PhD supervisor.

Since a PhD is primarily a research position, the candidate is not required to lecture or tutor, however such opportunities can be made available to the right candidate if so desired.

The successful candidate is expected to relocate to the city of Maastricht, the Netherlands, or to its immediate surrounding areas. The principal location of research will be : Clinical Data Science, Paul Henri Spaaklaan 1, 6229 EN, Maastricht, The Netherlands.

Requirements
We seek candidates with the following essential qualifications:

• Master’s degree (or Dutch university equivalent) in data science, computer science, machine learning and deep learning, or else a very closely-related field to the aforementioned;
• Expertise with data processing, image analysis and artificial intelligence;
• Strong command of Python language including machine learning and deep learning skills;
• Excellent written and verbal communication skills;
• Proven record of collaborating effectively as part of multi-disciplinary teams;
• Strong interest in deploying AI into the healthcare research domain;
• Scientific research level of English proficiency (e.g., Cambridge English Proficiency level C1) – Dutch fluency (or willingness to learn the Dutch language) would be highly regarded but not strictly mandatory.

What we offer
As PhD candidate in ‘Biomarker discovery for Next Generation Immuno-Dermatology’ at Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale P according to UFO profile PhD, with corresponding salary based on experience ranging from €2901,00 and €3707,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 1,0 FTE. Upon a positive evaluation, an extension of 3 years will follow. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as ‘acknowledge and appreciate’. 
   

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?
At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

Faculty of Health, Medicine and Life Sciences
At the Faculty of Health, Medicine and Life Sciences (FHML), everything revolves around healthy living. Our research and education are not solely focused on recovery, but place a strong emphasis on prevention, health preservation, and health promotion. Our aim is to use our knowledge and expertise to genuinely contribute to the well-being of individual people as well as society in total. 

In, research, and healthcare, FHML is closely collaborating with the academic hospital in Maastricht, together forming the Maastricht University Medical Center (MUMC+).  FHML is strongly connected in education, research, and care with the Maastricht academic hospital, together with which it forms the Maastricht University Medical Centre (MUMC+). 

FHML, which is the largest faculty of Maastricht University, is formed by an (inter)national community of employees and students. The faculty offers a wide range of Dutch and English-taught bachelor’s and master’s programs in innovative educational concepts in which the emphasis is always on building bridges to practice.
 

The multidisciplinary research of the FHML focuses on a number of carefully chosen topical current themes. In addition to research aimed at gaining new insights, it also concerns research whose results can be directly translated into concrete applications and innovations. The implementation of the various research programs is organized in our six graduate schools and two institutes.

 
Department

Clinical Data Science is a strongly multi-disciplinary and culturally diverse team, with specialization in FAIR data, artificial intelligence and clinical implementation. You may read more about us here: https://www.clinicaldatascience.nl/.

Curious?

Are you interested in this exciting position but still have questions? Feel free to contact Leonard Wee at leonard.wee@maastro.nl for more information.

Applying?
Or are you already convinced and ready to become our new PhD candidate in ‘Biomarker discovery for Next Generation Immuno-Dermatology’? Apply now, no later than February 23, for this position.
 

Please upload your CV, motivation letter, contact information of 2 referees, and publication list (if any).

A reference check will be part of the application procedure.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.